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Stator Resistance Estimation for Winding Temperature Prediction of Permanent Magnet Synchronous Motors

  • Areum Kang
  • , Jae Suk Lee*
  • *Corresponding author for this work
  • Jeonbuk National University

Research output: Contribution to journal › Journal article › peer-review

Abstract

In this paper, a real time stator resistance estimation algorithm, which has a proportional relationship with temperature, is implemented to predict the temperature of Permanent Magnet Synchronous Motors (PMSM). As the temperature of the motor increases, the PM flux linkage and stator resistance change and affect driving performance such as efficiency and dynamic characteristics of PMSM drives. Therefore, in order to increase the estimation accuracy of stator resistance, an algorithm is proposed in which the value of Permanent Magnet(PM) flux linkage estimated through flux linkage observer is reflected in the stator resistance estimator. In this paper, a real time stator resistance estimation algorithm for PMSM drives reflecting PM flux linkage variation is proposed and verified in simulation.

Original languageEnglish
Pages (from-to)552-558
Number of pages7
JournalTransactions of the Korean Institute of Electrical Engineers
Volume73
Issue number3
DOIs
StatePublished - 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Estimation
  • Flux linkage observer
  • Phase compensation
  • PMSM
  • Stator resistance
  • Temperature

Quacquarelli Symonds(QS) Subject Topics

  • Engineering - Electrical & Electronic
  • Engineering - Petroleum

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